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Towards calibrated and scalable uncertainty representations for neural
  networks

Towards calibrated and scalable uncertainty representations for neural networks

28 October 2019
Nabeel Seedat
Christopher Kanan
    UQCV
ArXivPDFHTML

Papers citing "Towards calibrated and scalable uncertainty representations for neural networks"

6 / 6 papers shown
Title
Promises and Pitfalls of Threshold-based Auto-labeling
Promises and Pitfalls of Threshold-based Auto-labeling
Harit Vishwakarma
Heguang Lin
Frederic Sala
Ramya Korlakai Vinayak
39
9
0
22 Nov 2022
The Unreasonable Effectiveness of Deep Evidential Regression
The Unreasonable Effectiveness of Deep Evidential Regression
N. Meinert
J. Gawlikowski
Alexander Lavin
UQCV
EDL
197
35
0
20 May 2022
Multivariate Deep Evidential Regression
Multivariate Deep Evidential Regression
N. Meinert
Alexander Lavin
BDL
PER
EDL
UQCV
37
21
0
13 Apr 2021
A Financial Service Chatbot based on Deep Bidirectional Transformers
A Financial Service Chatbot based on Deep Bidirectional Transformers
S. Yu
Yuxin Chen
Hussain Zaidi
35
33
0
17 Feb 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
367
10,639
0
19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
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